Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning

Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning

(2020) Lenhard Pennig et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

(2018) David B. Larson et al.   RADIOLOGY

Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA

(2018) T. Sichtermann et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms

(2018) Daiju Ueda et al.   RADIOLOGY

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction

(2015) Michael A. Bruno et al.   RADIOGRAPHICS

The Natural Course of Unruptured Cerebral Aneurysms in a Japanese Cohort

(2012)   NEW ENGLAND JOURNAL OF MEDICINE

Clipping Versus Coiling for Ruptured Intracranial Aneurysms

(2012) Hui Li et al.   STROKE

Rebleeding After Aneurysmal Subarachnoid Hemorrhage: A Literature Review

(2012) Carl Christian Larsen et al.   World Neurosurgery

Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis

(2009) Dennis J Nieuwkamp et al.   LANCET NEUROLOGY